EBANX is one of the most successful fintechs to emerge from Latin America — and today, we are building a truly global payments company. Our mission has remained constant from day one: to unlock access and enable companies and consumers to participate in the digital economy, no matter where they are.
What started as a bold vision has grown into a platform that connects some of the world’s largest digital businesses with customers across 21 of the fastest-growing markets. We operate where complexity exists — turning local challenges into global opportunities, and building the infrastructure that allows payments to move further, faster, and smarter.
We are a team of builders and problem-solvers. We think globally, act with curiosity, and believe diversity of thought is a competitive advantage.
As EBANX enters its next phase of hyper growth, we are looking for people who want to shape the future of payments, expand what’s possible, and help connect businesses and consumers across borders.
Let’s build what’s next — together.
At EBANX’s Data team you don’t just work with numbers. You transform information into intelligence that drives strategic decisions and directly impacts the digital payments revolution on a global scale. Every analysis combines curiosity, rigor, and collaboration, making our work truly Out of the Ordinary.
• As an AI Engineer Specialist your mission will be to own the design and deployment of scalable AI systems in production.
- Own the end-to-end design, development, evaluation, and deployment of Machine Learning and AI solutions, ensuring scalability, reliability, and performance;
- Develop and optimize Machine Learning models, with a strong focus on classical Machine Learning techniques such as XGBoost, Random Forest, and Decision Trees, ensuring robustness, explainability, and efficiency;
- Build models and strategies focused on fraud prevention, chargeback risk, and risk prevention in credit card payments;
- Translate business and payment-related challenges into effective Machine Learning solutions, considering both technical performance and business impact;
- Build and maintain production-grade solutions for AI applications, including APIs, data pipelines, and services, in collaboration with AI Engineering and MLOps specialists;
- Implement and oversee continuous integration and continuous delivery (CI/CD) pipelines for AI model deployment and updates;
- Collaborate closely with data scientists, AI engineers, MLOps specialists, software engineers, and stakeholders across teams to translate business requirements into actionable AI solutions;
- Troubleshoot production issues related to AI and Machine Learning systems, performing rigorous testing, validation, and continuous improvement;
- Contribute to the evolution of AI-powered solutions and explore new ways of applying AI to improve development efficiency and business outcomes;
- Mentor team members on best practices in Machine Learning modeling, AI engineering, model deployment, and system integration.
- Hands-on experience in Data Science and Machine Learning modeling;
- Proven expertise in developing and evaluating Machine Learning models, especially using XGBoost, Random Forest, and Decision Trees;
- Strong programming skills in Python, with demonstrated experience in developing high-quality, maintainable code;
- Experience working with Machine Learning models in real-world or production environments;
- Strong analytical and problem-solving skills, with the ability to translate business challenges into Machine Learning solutions;
- Proficiency with cloud platforms (AWS, GCP or Azure), including deploying AI services and managing cloud resources;
- Strong knowledge of CI/CD tools and processes (GitHub Actions);
- Solid understanding of data engineering concepts, ETL processes, and data pipeline architectures;
- Experience with monitoring and logging solutions for ML systems (e.g., CloudWatch or DataDog);
- Awareness of security standards and compliance requirements relevant to AI and data-driven systems;
- Conversational English proficiency, with the ability to communicate effectively with international stakeholders.
- Prior experience in fraud prevention, fraud detection, chargeback, payment risk, financial services, fintech, or related industries;
- Experience developing or working with neural networks and other Machine Learning techniques;
- Experience with containerization tools (Docker);
- Experience collaborating closely with MLOps and AI Engineering teams;
- Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field;
- Performance Bonus: Annual bonus program based on company results.
- Meal Allowance: Monthly allowance to support your meals.
- EBANX Education: Financial assistance for undergraduate, graduate, and MBA programs to support your professional growth.
- EBANX Skills: Dedicated budget for courses, certifications, and workshops to encourage continuous learning.
- Language Classes: Language classes to support your personal and professional development.
- Health & Well-being: Medical and dental plans with extensive coverage, including support for dependents and wellness programs.
Flexible Work Culture: Semi-flexible hours, additional day off on your birthday, and year-end break to support work-life balance. - Well-being Program: Access to activities and resources that promote physical and mental health.
Learn more about our #ebanxlife on LinkedIn and Instagram, and see what it’s like to be part of a global team that breaks barriers, creates opportunities, and celebrates every achievement together.
✨ An Out Of The Ordinary career is waiting for you here!
Skills Required
- Hands-on experience in data science and machine learning modeling
- Expertise developing and evaluating machine learning models, especially XGBoost, Random Forest, and Decision Trees
- Strong Python programming skills and experience writing maintainable code
- Experience working with machine learning models in real-world or production environments
- Strong analytical and problem-solving skills, including translating business challenges into machine learning solutions
- Proficiency with AWS, GCP, or Azure, including deploying AI services and managing cloud resources
- Knowledge of CI/CD tools and processes, including GitHub Actions
- Understanding of data engineering concepts, ETL processes, and data pipeline architectures
- Experience with ML monitoring and logging solutions such as CloudWatch or Datadog
- Awareness of security standards and compliance requirements for AI and data-driven systems
- Conversational English proficiency
- Experience in fraud prevention, fraud detection, chargeback, payment risk, financial services, fintech, or related industries
- Experience with neural networks and other machine learning techniques
- Experience with containerization tools such as Docker
- Experience collaborating with MLOps and AI engineering teams
- Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field
Ebanx Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ebanx and has not been reviewed or approved by Ebanx.
-
Healthcare Strength — Healthcare coverage is positioned as a core benefit in Brazil, with medical and dental plans and added supports like dependent subsidies and pharmaceutical assistance. This breadth suggests a stronger-than-baseline health offering for many Brazil-based roles.
-
Wellbeing & Lifestyle Benefits — Wellbeing benefits include gym and studio access via Wellhub/TotalPass plus an internal sports/wellness program, alongside lifestyle perks such as snacks, pet-friendly space, and partner discounts. These items indicate a meaningful emphasis on day-to-day wellbeing beyond salary.
-
Parental & Family Support — Family-oriented benefits include childcare assistance, extended caregiver leave, and support programs for pregnancy and parenting. This points to structured support for employees with caregiving responsibilities, at least in the Brazil baseline package.
Ebanx Insights
What We Do
WE GIVE ACCESS Since our founding in 2012, our aim is to make the world an explorable place for Latin Americans, and Latin America a possible region for international companies to enter. By offering local payment methods across LatAm we are conquering these desire day after day and already helped over 1000 merchants expand their business into the region and over 50 million Latin Americans to access global services and products. Companies like Airbnb, Wish, Spotify, Deezer, Aliexpress, Shopee, Ctrip and many other are among our portfolio. EBANX is headquartered in Curitiba - Brazil, but we are spread in all Latin America, US, China and Europe. Today, we are almost 1000 bankers around the world. More information about the company can be found on the official website. Watch our official video to know more about EBANX: https://youtu.be/h6y13xsDw-c
